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The probability of making the transition from the current state <math>s</math> to a candidate new state <math>s'</math> is specified by an acceptance probability function <math>P(e, e', T)</math>, that depends on the energies <math>e = E(s)</math> and <math>e' = E(s')</math> of the two states, and on a global time-varying parameter <math>T</math> called the temperature.  States with a smaller energy are better than those with a greater energy.  The probability function <math>P</math> must be positive even when <math>e'</math> is greater than <math>e</math>.  This feature prevents the method from becoming stuck at a local minimum that is worse than the global one.
 
The probability of making the transition from the current state <math>s</math> to a candidate new state <math>s'</math> is specified by an acceptance probability function <math>P(e, e', T)</math>, that depends on the energies <math>e = E(s)</math> and <math>e' = E(s')</math> of the two states, and on a global time-varying parameter <math>T</math> called the temperature.  States with a smaller energy are better than those with a greater energy.  The probability function <math>P</math> must be positive even when <math>e'</math> is greater than <math>e</math>.  This feature prevents the method from becoming stuck at a local minimum that is worse than the global one.
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从当前状态<math>s</math>到候选状态 <math>s'</math>的转变概率是由接受概率密度函数<math>P(e, e', T)</math>确定的,这取决于两个状态的能量<math>e = E(s)</math> ,<math>e' = E(s')</math>,以及称为温度的全局时变参数<math>T</math>。能量较小的状态比能量较大的状态好。概率密度函数<math>P</math>必须是正值,即使<math>e'</math>大于<math>e</math>,这个特性可以防止陷入比全局最小值糟糕的局部最小值。
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从当前状态<math>s</math>到候选状态 <math>s'</math>的转变概率是由接受概率密度函数<math>P(e,e',T)</math>确定的,这取决于两个状态的能量<math>e = E(s)</math> ,<math>e' = E(s')</math>,以及称为温度的全局时变参数<math>T</math>。能量较小的状态比能量较大的状态好。概率密度函数<math>P</math>必须是正值,即使<math>e'</math>大于<math>e</math>,这个特性可以防止陷入比全局最小值糟糕的局部最小值。
     
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